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Whoop is hiring a Distributed & Quantitative Research Specialist (Temporary)

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Job Description

At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers members to optimize their performance through a deeper understanding of their bodies and daily lives. WHOOP Labs is the central research organization at WHOOP, supporting both in-person and distributed research across product, R&D, and clinical initiatives.

As the Distributed and Quantitative Research Specialist, you will be a key contributor within WHOOP Labs, supporting the growing demand for surveys, intervention studies, and other remote research initiatives through Digital WHOOP Labs (DWL). This role sits at the intersection of research execution and research operations, with a strong focus on enabling high-quality, scalable studies for stakeholders across WHOOP.

This position reports to a Senior Human Factors Manager and is ideal for someone who enjoys hands-on research execution, stakeholder collaboration, and building rigor into large-scale distributed studies.

This is a W-2, Temporary role through the remainder of 2026, with an hourly pay range of $34 - $36. Candidates must be prepared to work in person at WHOOP Labs in Boston, MA 5 days each week. 

RESPONSIBILITIES:
  • Learn and maintain a deep understanding of the current and future capabilities of Digital WHOOP Labs (DWL) and other survey and research platforms available to WHOOP Labs
  • Serve as a primary point of contact for incoming distributed research requests, meeting with stakeholders to understand research goals and translate them into effective study designs
  • Support design of research protocols that align appropriate remote research methodologies to learning goals to meet stakeholder needs
  • Partner closely with senior researchers to refine research scopes and ensure studies are feasible, rigorous, and aligned with best practices
  • Own the executional details of distributed research, including survey review, backend study setup, and facilitation of live and ongoing studies
  • Review stakeholder-created surveys for quality, clarity, and adherence to quantitative research and survey design best practices
  • Monitor active studies, troubleshoot participant issues, and communicate bugs or system limitations to internal tooling and technical teams
  • Interact directly with WHOOP members via Salesforce to resolve issues related to distributed studies and device connectivity
  • Support operational workflows that enable DWL to scale as a core quantitative research platform across WHOOP
  • Regularly report study progress, risks, and executional challenges to the broader WHOOP Labs team

  • QUALIFICATIONS:
  • Bachelor’s degree in Social Science, Psychology, Public Health, Social and Behavioral Science, Human Factors or a related field.
  • 2–3 years of experience in quantitative research, product research, or a related research-focused role
  • Strong foundation in survey design and quantitative research methods, including consumer-grade and mixed-methods approaches
  • Experience with cross-functional stakeholder management and translating research needs into executable study designs
  • Familiarity with distributed or remote research platforms; clinical research experience is a plus
  • UX research experience is a nice-to-have, but not required
  • Strong organizational skills, attention to detail, and ability to manage multiple concurrent studies
  • Comfortable working with internal tools and member-facing platforms such as Salesforce

  • Interested in the role but don’t meet every qualification? We encourage you to apply! At WHOOP, we value potential, character, and curiosity as much as experience.

    WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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    Salary Information

    Salary: $110,000 - $130,000

    🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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